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Research Scientist, LLM Pretraining; Seed-LLM

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: ByteDance
Full Time position
Listed on 2026-01-24
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 208800 USD Yearly USD 208800.00 YEAR
Job Description & How to Apply Below
Position: Research Scientist, LLM Pretraining (Seed-LLM)

Research Scientist, LLM Pretraining (Seed-LLM)

Location:

San Jose

Team:
Algorithm

Employment Type:

Regular

Job Code: A230081

Responsibilities

Established in 2023, the Byte Dance Seed team is dedicated to discovering new approaches to general intelligence, and pursuing the edge of intelligence. Our research spans large language models, Gen Media, AI for Science, Robotics and more. With a long-term vision and determination in AI, the Byte Dance Seed team remains committed to foundational research. We aim to become a world-class AI research team that drives real technological progress and delivers societal benefits.

With labs across China, Singapore, and the U. S., our team has already released industry‑leading general‑purpose large models and advanced multimodal capabilities, powering over 50 real‑world applications — including Doubao, Coze, and Jimeng.

  • Identify applicable ideas for optimizing large models, and apply them across models of different scales to improve model performance.
  • Explore the boundaries of ultra‑large‑scale models and drive extreme system‑level optimizations to enhance model capability and efficiency.
  • Lead efforts in data pipeline development, instruction tuning, preference alignment, and model optimization to improve model quality and adaptability.
  • Contribute to real‑world applications across various domains, including creative generation, logical reasoning, code generation, and more.
  • Conduct in‑depth research on future use cases of foundation models and expand the frontier of model applications.
  • Qualifications

    Minimum Qualifications

    • Strong coding ability with solid knowledge of data structures and fundamental algorithms; proficient in C/C++ or Python.
    • Excellent problem‑solving skills, capable of diagnosing and resolving complex challenges in large model training and deployment.
    • Strong communication and collaboration skills, with the ability to explore new technologies and drive technical advancements with the team.

    Preferred Qualifications

    • Familiarity with NLP or CV algorithms and techniques; candidates with strong research experience in related fields are preferred. Experience in large‑scale model training or reinforcement learning (RL) is a plus.
    • Demonstrated leadership in high‑impact projects or publications in the large‑model domain is highly preferred.
    Job Information

    The base salary range for this position in the selected city is $208,800 - $616,000 annually.

    Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

    Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

    The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

    For Los Angeles County (unincorporated) Candidates

    Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

  • Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
  • Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
  • Exercising…
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